Mitchell S. Fourman

Massachusetts General Hospital, Hospital for Special Surgery

Papers

Total Citations

260

H-Index

About

Mitchell S. Fourman is a leading voice at the intersection of spine surgery and cutting-edge technology, with his research primarily focused on augmented and virtual reality, robotic-assisted surgical techniques, and the application of deep learning in orthopedics. His most influential work, "Augmented and virtual reality in spine surgery, current applications and future potentials," has garnered 224 citations, establishing him as a key thinker on how immersive technologies can enhance surgical precision and training. Fourman’s practical contributions are equally significant; his step-by-step guide to robotic-guided minimally invasive transforaminal lumbar interbody fusion (MI-TLIF), with 27 citations, provides a crucial roadmap for surgeons transitioning to robotic-assisted procedures, emphasizing safety and reproducibility. Additionally, his exploration of deep learning in spine surgery (9 citations) underscores his commitment to integrating artificial intelligence into clinical decision-making. Fourman’s work is notable for bridging the gap between theoretical potential and clinical application, making complex technologies accessible to practicing surgeons. His research not only advances the field but also serves as a foundational resource for students and clinicians eager to understand the future of spine surgery.